funique is an efficient alternative to unique (or unique.data.table, kit::funique, dplyr::distinct).
fnunique is an alternative to NROW(unique(x)) (or data.table::uniqueN, kit::uniqLen, dplyr::n_distinct).
The collapse versions are versatile and highly competitive.
funique(x, ...)# S3 method for default
funique(x, sort = FALSE, method = "auto", ...)
# S3 method for data.frame
funique(x, cols = NULL, sort = FALSE, method = "auto", ...)
# S3 method for sf
funique(x, cols = NULL, sort = FALSE, method = "auto", ...)
# Methods for indexed data / compatibility with plm:
# S3 method for pseries
funique(x, sort = FALSE, method = "auto", drop.index.levels = "id", ...)
# S3 method for pdata.frame
funique(x, cols = NULL, sort = FALSE, method = "auto", drop.index.levels = "id", ...)
fnunique(x) # Fast NROW(unique(x))
x with duplicate elements/rows removed.
a atomic vector or data frame / list of equal-length columns.
logical. TRUE orders the unique elements / rows. FALSE returns unique values in order of first occurrence.
an integer or character string specifying the method of computation:
| Int. | String | Description | ||
| 1 | "auto" | automatic selection: hash if sort = FALSE else radix. | ||
| 2 | "radix" | use radix ordering to determine unique values. Supports sort = FALSE but only for character data. | ||
| 3 | "hash" | use index hashing to determine unique values. Supports sort = TRUE but only for atomic vectors (default method). |
compute unique rows according to a subset of columns. Columns can be selected using column names, indices, a logical vector or a selector function (e.g. is.character). Note: All columns are returned.
arguments passed to radixorderv, e.g. decreasing or na.last. Only applicable if method = "radix".
character. Either "id", "time", "all" or "none". See indexing.
If all values/rows are already unique, then x is returned. Otherwise a copy of x with duplicate rows removed is returned. See group for some additional computational details.
The sf method simply ignores the geometry column when determining unique values.
Methods for indexed data also subset the index accordingly.
fndistinct, group, Fast Grouping and Ordering, Collapse Overview.
funique(mtcars$cyl)
funique(gv(mtcars, c(2,8,9)))
funique(mtcars, cols = c(2,8,9))
fnunique(gv(mtcars, c(2,8,9)))
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